About

AI advisory from a practitioner.

Zar Toolan founded Archevia after leading technology, data, and AI strategy inside Fortune 500 financial services companies. He doesn't advise from a distance. He's on the calls and in the work with more than a decade of operating committee experience.

Background

Zar founded Archevia in 2026 after seeing the same AI gaps surface across every organization he advised. He's worked through the data foundations, the launches that needed course corrections, and the change management many consulting decks understate.

Credentials
Multiple AI Patents
Published – Harvard Business Review
Subject of a Harvard Case Study
AI Advisory Board – Franklin Templeton
Board – William & Mary Business School Foundation
Board – Fanconi Cancer Foundation
Board – St. Louis Science Center
Board – Go! St. Louis
Co-Founder – Team BrAvery
BS Mechanical Engineering – Columbia University
MBA Finance – William & Mary
Career

Two decades inside the
institutions he now advises.

Archevia
2026 — Present
Founder
Practitioner-led AI advisory for Fortune 500 leadership teams in regulated industries.
Edward Jones
6 YEARS
Chief Data & AI Officer · General Partner
Built the enterprise AI strategy from the ground up. 2 years of foundational data work and change management for 15,000+ branch teams, and owned the wealth platforms that powered client outcomes.
Wells Fargo Advisors
13 Years
Executive Leadership Roles
Senior technology and strategy roles across one of the largest financial services organizations in the country.
U.S. Navy
Early Career
Nuclear Engineer
Trained as a nuclear engineer. An early foundation in process discipline, systems thinking, and high-stakes decision-making.
Beyond the Boardroom

85 marathons. 42 states.
Still counting.

Zar would be the first to tell you the discipline required to finish a hundred miles is the same discipline required to finish an enterprise data and AI transformation.

Process over stamina. Pacing. Knowing what to do at mile 80 because you've practiced for it. That's the frame Archevia brings to every client engagement.

85
Marathons & Ultras
42
States Competed
$1M+
Raised for charity
100mi
Ultramarathon Distance
Stories & Foundations

The experiences that shaped the practitioner.

Endurance

The discipline of finishing hard things.

Hundred-mile races aren't won at mile 99. They're won at the planning stage. Pacing. Logistics. Knowing what to do at mile 80 because you've practiced for it. That's the lens he brings to every C-suite engagement and every stage he stands on. He's not talking about grit. He's talking about a system.

Philosophy

Dinner with Kasparov. The idea he carried into the C-suite.

Garry Kasparov lost to IBM's Deep Blue in 1997. He spent the next two decades arguing something that mattered more: humans paired with AI would always outperform AI alone. He called it augmented intelligence.

The conversations that Zar had with Kasparov stuck. It's how Archevia thinks about every engagement: not what AI can replace, but what AI and people can do together. That's how Archevia thinks about every engagement.

The firms winning at AI aren't the ones treating it as a technology problem. They're the ones treating it as a team sport.

Foundation

Skills built for the C-suite. Used for more than that.

Two decades of operating skill don't have to stay inside the enterprise. Zar co-founded Team BrAvery in support of the Fanconi Cancer Foundation, a rare disease that mostly affects young people. With more than a million dollars raised (and counting), the same teammates show up race after race, year after year, applying the same mindsets, skillsets, and toolsets the work demands – to a cause that demands all three.

Legacy

Where the practitioner standard started.

Jack Toolan, Zar's grandfather, architected the HVAC plans for Madison Square Garden and the Empire State Building. He didn't have an engineering degree, but he had the sleeves-up knowledge the credentialed engineers needed. That's what a practitioner is. The practitioner standard at Archevia started at that drafting table.

operating principles

Three principles underneath every engagement.

Archevia is built on three beliefs about how AI transformation actually works inside a Fortune 500. Each one shows up in how engagements are scoped and serviced.

01

The hard problems are the work.

Most AI strategies stall. The reasons are rarely technical. Siloed data, conflicting priorities, change management obstacles. Archevia is built to run at those problems, not around them.
02

Transformation is a team sport.

AI inside a regulated enterprise is a leadership-team problem before it's a technology problem. The C-suite has to be aligned. Leaders have to share accountability. Archevia engagements are built for shared ownership, not single-point handoffs.
03

The strategy has to deliver.

Most consulting engagements end when the deck is delivered. Archevia engagements end when the strategy is operating inside the business. The senior practitioner stays in the room from the first conversation through execution. The job isn't a recommendation, it's a shared roadmap.
Get In Touch

Work with Zar

Advisory engagements, keynotes, or board sessions. Every one starts with a conversation.